Title :
A region-based approach for RSS indoor localization
Author :
Hung-Nguyen Manh ; Ching-Chun Huang ; Lee Hsiao-Yi
Author_Institution :
Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
Abstract :
In this paper, we proposed a region-based approach for indoor localization based on the fingerprint of radio signal strength (RSS). Unlike conventional fingerprint-based methods that based on point information to infer user´s location, we used region information for indoor localization. Our results show that the proposed system has better positioning accuracy and more robustness to signal noise and dynamic environment.
Keywords :
radio networks; RSS indoor localization; dynamic environment; fingerprint based methods; radio signal strength; region information; signal noise; Estimation; Fingerprint recognition; Kernel; Noise; Sensors; Testing; Training;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2015.7217041
